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Luis Koehler Domingues

Luis Koehler Domingues

MIT Department: Physics
Faculty Mentor: Prof. Joseph Formaggio
Research Supervisor: Hannah Binney, Junior Pena
Undergraduate Institution: Grinnell College
Website:

Biography

Originally from Brazil, Luis Felipe Koehler Domingues is a rising senior at Grinnell College, majoring in Physics and Mathematics. At Grinnell, Luis has conducted Atomic Force Microscopy research on thermally-evaporated pentacene thin films with Professor Kristen Burson. He has also acted as the president of the Brazilian Student Association on campus and is currently a Student Ambassador for the American Physical Society. In the summer of2024, he developed a passion for high-energy physics while collaborating with Professor DarinAcosta at Rice University. There, he investigated the implementation of neural networks at the Level-1 trigger of the Compact Muon Solenoid experiment to detect traces of hypothetical particles. At MIT, Luis is collaborating with Professor Joseph Formaggio to study windowing functions in Short-Time Fourier Transforms as part of Project 8’s efforts to measure the mass of neutrinos. Luis aims to pursue a Ph.D. in nuclear physics, with a focus on leveraging machine learning techniques to drive discovery in the field.

Abstract

Effect of Fast Fourier Transform Windows on Event Reconstruction for Project 8

Luis Felipe Koehler Domingues1, Junior Pena2, Hannah Binney2, and Joseph Formaggio2

1Department of Physics, Grinnell College

2Laboratory for Nuclear Science, Massachusetts Institute of Technology

The Project 8 Experiment is pioneering the Cyclotron Radiation Emission Spectroscopy (CRES) technique to achieve sensitivity of 40 meV/c^2 to the neutrino mass. In the experiment, electrons emitted from tritium beta decay are placed in an external magnetic field, thereby releasing cyclotron radiation with frequency inversely proportional to their energy. The neutrino mass can be probed by reconstructing the electrons’ energy spectrum near its endpoint. In Project 8’s standard data processing pipeline, the data is split into narrow time slices and the frequencies are extracted using Fast Fourier Transforms (FFTs). However, FFTs of real signals are prone to spectral leakage, a phenomenon in which power is spread across multiple frequency bins. As the frequency changes, the magnitude of the leakage varies across time slices, which can cause difficulties for event reconstruction. FFT windowing functions emerge as possible remedies to the leakage by attenuating the signal at the edges of each time slice. We present a thorough study into the use of FFT windows by analyzing frequency resolution and track reconstruction in both a toy model and high-fidelity simulations. The resulting work can guide Project 8’s signal processing procedures and contribute to the collaboration’s efforts to measure the neutrino mass.
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